39You have a fixed latency and cost budget at scale. Walk me through quantization vs distillation to hit it.▼hard★ EssentialMistralDatabricksTogether1 replies◆ premiumTwo compression levers with very different bills. The arithmetic that decides between them, when to stack both, and the eval discipline that keeps a 'cheaper' model from quietly tanking your hardest 10% of queries.Open full answer →
41At millions of calls a day, do you guarantee structured output with constrained decoding or validate-and-retry? Defend the economics.▼hardOpenAITogetherDatabricks1 replies◆ premiumThe escalation ladder is settled; the at-scale tradeoff is not. Why retries quietly multiply your bill and tail latency, why constrained decoding has its own taxes, and the hybrid that most high-volume pipelines actually run.Open full answer →
42Design a multi-model router or cascade that cuts cost without dropping below a quality floor.▼hardAnthropicOpenAIDatabricks1 replies◆ premiumSending every request to the frontier model is the lazy bill. The patterns that route by difficulty, the verifier that enforces a hard quality floor, and the failure mode that turns a cost-saving cascade into a worse, slower system.Open full answer →
